Breast Cancer Detection Based on Watershed Transformation
Image processing techniques is widely use in the medical image currently. Ultrasound and X-ray medical images are plays an important role in the detection of breast cancer. This
paper is an attempt for breast cancer detection.Segmentation method based on morphological watershed transform to extraction watershed lines from a topographic representation of the
input image. In this paper, a diagnostic
approach of breast cancer is presented based on two types of medical images .The first was captured by ultrasound device, while the other
was captured by X-ray mammography device. The diagnosis of breast cancer is achieved by image processing techniques .The proposed algorithm based on morphological operation and segmentation watershed transformation. The proposed approach obtained very similar diagnosis of breast tumor in the types of medical images. The proposed algorithm tested on digital medical image ultrasound ,x-ray obtained from Mosul Hospital. The results obtained are good.
Keywords: Breast Cancer, Medical Image, Watershed Transform Topography, Mathematical Morphology Operation
Download Full-Text
ABOUT THE AUTHOR
Sura Ramzi Shareef
I have BSc in Computer science in 1996, and I got a MSc in 2003 from the same department. Currently, I am teaching in University of Mosul.
Sura Ramzi Shareef
I have BSc in Computer science in 1996, and I got a MSc in 2003 from the same department. Currently, I am teaching in University of Mosul.